Automated Red-Edge Information Feature (ARIF) Program For Vegetation Stress Analysis And Classification.

Automated Red-Edge Information Feature (ARIF) Program For Vegetation Stress Analysis And Classification.

This paper describes the development of Automated Red-edge Information Feature (ARIF) program for evaluating vegetation stress condition. The program is developed in the Interactive Data Language (IDL) environment and will enable vegetation hyperspectral remote sensing data to be analysed easily i...

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Main Authors: Mohd Shafri, Helmi Zulhaidi, Roslan, Siti Nur Aliaa
Format: Article
Language:English
English
Published: 2013
Online Access:http://psasir.upm.edu.my/id/eprint/28547/1/Automated%20Red.pdf
http://psasir.upm.edu.my/id/eprint/28547/
http://www.aensiweb.com/old/gjmpr_Aprill_2013.html
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Institution: Universiti Putra Malaysia
Language: English
English
id my.upm.eprints.28547
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spelling my.upm.eprints.285472015-10-07T23:56:37Z http://psasir.upm.edu.my/id/eprint/28547/ Automated Red-Edge Information Feature (ARIF) Program For Vegetation Stress Analysis And Classification. Mohd Shafri, Helmi Zulhaidi Roslan, Siti Nur Aliaa This paper describes the development of Automated Red-edge Information Feature (ARIF) program for evaluating vegetation stress condition. The program is developed in the Interactive Data Language (IDL) environment and will enable vegetation hyperspectral remote sensing data to be analysed easily in terms of the red-edge position. Results from this program was verified using oil palm data from two (2) states of condition, they are healthy and not healthy. The data was taken using a field spectrometer and the result obtained was analyzed using ARIF. It was formed to correlate very well into the real world condition. 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28547/1/Automated%20Red.pdf Mohd Shafri, Helmi Zulhaidi and Roslan, Siti Nur Aliaa (2013) Automated Red-Edge Information Feature (ARIF) Program For Vegetation Stress Analysis And Classification. Global Journal of Medicinal Plant Research, 1 (2). pp. 184-189. ISSN 2074-0883 http://www.aensiweb.com/old/gjmpr_Aprill_2013.html English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description This paper describes the development of Automated Red-edge Information Feature (ARIF) program for evaluating vegetation stress condition. The program is developed in the Interactive Data Language (IDL) environment and will enable vegetation hyperspectral remote sensing data to be analysed easily in terms of the red-edge position. Results from this program was verified using oil palm data from two (2) states of condition, they are healthy and not healthy. The data was taken using a field spectrometer and the result obtained was analyzed using ARIF. It was formed to correlate very well into the real world condition.
format Article
author Mohd Shafri, Helmi Zulhaidi
Roslan, Siti Nur Aliaa
spellingShingle Mohd Shafri, Helmi Zulhaidi
Roslan, Siti Nur Aliaa
Automated Red-Edge Information Feature (ARIF) Program For Vegetation Stress Analysis And Classification.
author_facet Mohd Shafri, Helmi Zulhaidi
Roslan, Siti Nur Aliaa
author_sort Mohd Shafri, Helmi Zulhaidi
title Automated Red-Edge Information Feature (ARIF) Program For Vegetation Stress Analysis And Classification.
title_short Automated Red-Edge Information Feature (ARIF) Program For Vegetation Stress Analysis And Classification.
title_full Automated Red-Edge Information Feature (ARIF) Program For Vegetation Stress Analysis And Classification.
title_fullStr Automated Red-Edge Information Feature (ARIF) Program For Vegetation Stress Analysis And Classification.
title_full_unstemmed Automated Red-Edge Information Feature (ARIF) Program For Vegetation Stress Analysis And Classification.
title_sort automated red-edge information feature (arif) program for vegetation stress analysis and classification.
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/28547/1/Automated%20Red.pdf
http://psasir.upm.edu.my/id/eprint/28547/
http://www.aensiweb.com/old/gjmpr_Aprill_2013.html
_version_ 1643829497510756352

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